Research of Combination Application of IR and SRR for Improving Spatial Resolution

Author

Wu Yan ; Chen Fan-sheng

Author_Institution

Shanghai Inst. of Tech. Phys., Chinese Acad. of Sci., Shanghai, China

fYear

2009

fDate

19-20 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

According to the image system which down-sampling and over-sampling both exist in, the combined technique of IR (Image Restoration) and SRR (Super-resolution Reconstruction) is put forward in this paper. IR can improve the blurring caused by atmosphere disturbance and light diffraction and so on, which appear in over-sampling condition, and SRR can improve aliasing caused by down-sampling. Experiments indicate the validity of method put forward. This method can be applied to the scanning remote sensing system in which the line-array sensor is arranged shifting sub-pixel in sensor array direction.

Keywords

array signal processing; image resolution; image restoration; light diffraction; remote sensing; IR; SRR; atmosphere disturbance; blurring; combination application; down-sampling; image restoration; light diffraction; line-array sensor; over-sampling; scanning remote sensing system; sensor array direction; shifting sub-pixel; spatial resolution; super-resolution reconstruction; Atmosphere; Frequency; Image resolution; Image sampling; Optical imaging; Optical noise; Remote sensing; Sensor arrays; Sensor systems; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4994-1

Type

conf

DOI

10.1109/ICIECS.2009.5362774

Filename

5362774